2015 Oregon Department Forestry Lidar DEM: Northwest OR

GeoTerra, Inc. was selected by Oregon Department of Forestry to provide Lidar remote sensing data including LAZ files of the classified Lidar points and surface models for approximately 591 square miles over five (5) sites in Northwest Oregon. Airborne Lidar mapping technology provides 3D information for the surface of the Earth which includes terrain surface models, vegetation characteristics and man-made features. Lidar technology is capable of penetrating gaps in forest canopies and to reach the ground below allowing for creation of accurate bare earth and vegetation surfaces. Lidar point clouds were projected back to geographic coordinates for storage in the Digital Coast Data Access Viewer.

Data and Resources

Additional Info

Field Value
Last Updated October 4, 2017, 21:08
Created October 4, 2017, 21:08
access_constraints ["Use Constraints: Users should be aware that temporal changes may have occurred since this data set was collected and some parts of this data may no longer represent actual surface conditions. Users should not use this data for critical applications without a full awareness of its limitations.", "Access Constraints: None"]
bbox-east-long -122.393
bbox-north-lat 46.237
bbox-south-lat 44.818
bbox-west-long -123.905
contact-email jacob.edwards@oregon.gov
coupled-resource []
dataset-reference-date [{"type": "publication", "value": "2017-09-20"}]
frequency-of-update notPlanned
graphic-preview-description A polygon footprint of this data set.
graphic-preview-file https://coast.noaa.gov/htdata/lidar2_z/geoid12b/data/6379/supplemental/2015_odf_northwest_area.kmz
graphic-preview-type kmz
licence ["\nAny conclusions drawn from the analysis of this information are not the responsibility of the Oregon Department of Geology and Mineral Industries (DOGAMI), the Office for Coastal Management or its partners. "]
metadata-date 2017-09-22
progress completed
resource-type dataset
responsible-party [{"name": "DOGAMI", "roles": ["pointOfContact"]}]
spatial {"type": "Polygon", "coordinates": [[[-123.905, 44.818], [-122.393, 44.818], [-122.393, 46.237], [-123.905, 46.237], [-123.905, 44.818]]]}
spatial_harvester true
temporal-extent-begin 2015-04-19
temporal-extent-end 2016-03-30